Bryan (Ning) Xia, Ph.D.

Large Language Models, Generative AI. Training and evaluating encoder and decoder models.

Deep Learning and Computer Vision: 1. Novel second-order non-local attention (SONA) mechanism for Person Re-identification outperforms SOTA methods in ICCV 2019 paper. 2. Endangered African (Zimbabwe) Painted Dog conservation via metric learning. 3. Speech-based neurological diseases (concussion, Parkinson's disease) assessment. Deep Learning, Computer Vision and Web: 1. PyTorch based Serverless RESTful API using AWS Lambda Deep Learning and Natural Language Processing: 1. Novel Multi-label Text Classification with attention-based Graph Convolutional Neural Networks and attentive text-label correlations. Deep Learning and Recommender System: 1. Novel attention based review text neural recommender system.

Deep Learning and Computer Vision: Person Re-identification

Research Scientist Intern in Deep Learning and Computer Vision with Samsung AI Lab (SAIL) Person/Object Re-identification

Deep Learning Applications for ARTIK IoT Platform 0. Build TensorFlow for ARTIK. 1. Face Recognition on a subset of MS-Celeb-1M 2. Multi-label Object Classification on a subset of MS COCO dataset 3. Object Detection on PASCAL VOC using Yolo 4. Video Captioning on Youtube2Text dataset

Machine Learning, Natural Language Processing, Text Mining, Medical Informatics and Web Development

Machine Learning, Natural Language Processing and Text Mining

Machine Learning, Natural Language Processing, Text Mining, Information Retrieval, Medical Informatics, Bioinformatics

Design effective deep learning algorithms for person re-identification and text multi-label learning.